{"id":"W2080175869","doi":"10.1145/506724.506727","title":"Factors influencing the formation of a user's perceptions and use of a DSS software innovation","year":2001,"lang":"en","type":"article","venue":"ACM SIGMIS Database the DATABASE for Advances in Information Systems","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary","funders":"","keywords":"Perception; Knowledge management; Planner; Competence (human resources); Software; Diffusion of innovations; Work (physics); Software development; Computer science; Psychology; Engineering; Business; Marketing; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003261778,0.0001985451,0.0003391958,0.0008883341,0.0003108909,0.000171249,0.001044973,0.0000927883,0.00002022695],"category_scores_gemma":[0.01173724,0.0001119476,0.00006183791,0.002090562,0.0002850007,0.01370369,0.0004114574,0.0002310825,0.000008712081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005556468,"about_ca_system_score_gemma":0.00006055978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002340437,"about_ca_topic_score_gemma":0.000247492,"domain_scores_codex":[0.9966006,0.0001889491,0.001900859,0.0002118166,0.000864192,0.0002335512],"domain_scores_gemma":[0.9931145,0.00266681,0.001489878,0.001712886,0.000977739,0.00003814622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008134257,0.0002995233,0.7974576,0.0009902631,0.0000756604,0.000002172568,0.02834656,0.01521333,0.005008078,0.08087856,0.0132107,0.05770418],"study_design_scores_gemma":[0.004362319,0.0003563637,0.2037543,0.001394397,0.0001697293,0.0001579216,0.1754335,0.02765103,0.003265255,0.003223372,0.5791522,0.001079651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8091633,0.0001757934,0.1844237,0.0001705208,0.0002325856,0.001015091,0.004762067,0.00004613177,0.00001076813],"genre_scores_gemma":[0.9943579,0.0003572007,0.003141716,0.0001120838,0.00001903949,0.0001733635,0.001805271,0.000008720644,0.00002470955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5937033,"threshold_uncertainty_score":0.9965873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1345694212104779,"score_gpt":0.3793068780890549,"score_spread":0.244737456878577,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}